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I am a Master’s student in Data Science at the University of Milano-Bicocca with a strong technical foundation in applied mathematics, deep learning, and large-scale data processing. My work spans distributed learning, NLP, and LLM-based infrastructures, with a focus on building scalable, production-ready AI systems that integrate machine learning with robust backend and MLOps components. I am passionate about applied AI engineering and enjoy transforming complex technical concepts into practical, high-impact solutions—from image and signal processing models to full MLOps pipelines and agentic LLM architectures. I am proficient in Python, PyTorch, FastAPI, Docker, and cloud-native tooling, thriving in environments that value autonomy, clean architecture, and performance-driven execution.…I am a Master’s student in Data Science at the University of Milano-Bicocca with a strong technical foundation in applied mathematics, deep learning, and large-scale data processing. My work spans distributed learning, NLP, and LLM-based infrastructures, with a focus on building scalable, production-ready AI systems that integrate machine learning with robust backend and MLOps components. I am passionate about applied AI engineering and enjoy transforming complex technical concepts into practical, high-impact solutions—from image and signal processing models to full MLOps pipelines and agentic LLM architectures. I am proficient in Python, PyTorch, FastAPI, Docker, and cloud-native tooling, thriving in environments that value autonomy, clean architecture, and performance-driven execution.

ISMAIL AHOUARI

Data Scientist, Developer, Web Developer, +4

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I am a Master’s student in Data Science at the University of Milano-Bicocca with a strong technical foundation in applied mathematics, deep learning, and large-scale data processing. My work spans distributed learning, NLP, and LLM-based infrastructures, with a focus on building scalable, production-ready AI systems that integrate machine learning with robust backend and MLOps components. I am passionate about applied AI engineering and enjoy transforming complex technical concepts into practical, high-impact solutions—from image and signal processing models to full MLOps pipelines and agentic LLM architectures. I am proficient in Python, PyTorch, FastAPI, Docker, and cloud-native tooling, thriving in environments that value autonomy, clean architecture, and performance-driven execution.…I am a Master’s student in Data Science at the University of Milano-Bicocca with a strong technical foundation in applied mathematics, deep learning, and large-scale data processing. My work spans distributed learning, NLP, and LLM-based infrastructures, with a focus on building scalable, production-ready AI systems that integrate machine learning with robust backend and MLOps components. I am passionate about applied AI engineering and enjoy transforming complex technical concepts into practical, high-impact solutions—from image and signal processing models to full MLOps pipelines and agentic LLM architectures. I am proficient in Python, PyTorch, FastAPI, Docker, and cloud-native tooling, thriving in environments that value autonomy, clean architecture, and performance-driven execution.

Available to hire

I am a Master’s student in Data Science at the University of Milano-Bicocca with a strong technical foundation in applied mathematics, deep learning, and large-scale data processing. My work spans distributed learning, NLP, and LLM-based infrastructures, with a focus on building scalable, production-ready AI systems that integrate machine learning with robust backend and MLOps components.

I am passionate about applied AI engineering and enjoy transforming complex technical concepts into practical, high-impact solutions—from image and signal processing models to full MLOps pipelines and agentic LLM architectures. I am proficient in Python, PyTorch, FastAPI, Docker, and cloud-native tooling, thriving in environments that value autonomy, clean architecture, and performance-driven execution.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Arabic

Fluent

English

Fluent

French

Fluent

Italian

Advanced

Work Experience

Data Science Intern at Luxembourg Institute of Socio-Economic - LISER

April 30, 2025 - August 7, 2025

Developed a scalable multilingual semantic classification pipeline using pandas and Polars, improving efficient processing of large-scale text data for NLP tasks. Conducted data preprocessing including HTML content extraction with BeautifulSoup, text normalization, and deduplication using spaCy to enhance input quality for machine learning models. Integrated Stanza for language-specific sentence segmentation and modular multilingual NLP processing. Built a keyword extraction system using Sentence-Transformers with semantic similarity techniques for domain-specific AI indicator identification. Optimized pipeline throughput by using batch processing, data parallelism, and language-specific processing branches, enhancing model inference speed. Benchmarked pipeline performance against GPT-based models to inform model selection for practical AI deployment.

Data Science Intern at University of Luxembourg – C2DH

December 31, 2024 - August 7, 2025

Deployed a Wikibase-based knowledge graph within Docker containers to ensure isolated and reproducible environments. Automated data ingestion pipelines using Python and the Wikibase API for processing over 10,000 structured records with semantic annotations. Developed a modular relational data model managing RDF triples across 19 reusable properties. Implemented multilingual support with automated translation targeting Luxembourgish accessibility. Established data reconciliation workflows with OpenRefine for entity linking across platforms. Created SPARQL query interfaces enabling complex historical research queries combined with data visualization tools.

Web Dev Intern at Numidia Collection

February 28, 2022 - August 7, 2025

Developed and managed CMS platforms including WordPress and Prestashop. Built and optimized websites using HTML, CSS, and JavaScript, ensuring compliance with W3C standards. Handled backend development projects using Django and Flask frameworks. Implemented SEO strategies to enhance search engine rankings and improve website visibility.

Data Science Associate at Luxembourg Institute of Socio-Economic - LISER

January 1, 2025 - April 1, 2025

Implemented a scalable multilingual semantic classification pipeline using pandas and Polars for large-scale text NLP tasks. Built data preprocessing modules for HTML content extraction (BeautifulSoup), text normalization, and deduplication with spaCy to improve input quality for ML models. Integrated Stanza for language-specific sentence segmentation and developed modular components to support multilingual NLP processing across diverse corpora. Developed a keyword extraction system using Sentence-Transformers (Hugging Face) with semantic similarity techniques to identify AI-related indicators within domain-specific corpora. Benchmarked the semantic similarity pipeline against GPT-based models (OpenAI GPT, Mixtral) to assess performance accuracy and approach fidelity.

Web Dev Intern at Numidia Collection

November 1, 2021 - February 1, 2022

Developed and managed CMS platforms, including WordPress and Prestashop. Built and optimized websites using HTML, CSS, and JavaScript, ensuring compliance with W3C standards. Handled backend development for specific projects using Flask. Implemented SEO strategies to improve search engine rankings and enhance website visibility.